AI Solutions Engineer - Associate

Federal Reserve System • Richmond, VA

2d • $76,000 - $124,500 • Onsite

About The Position

The AI Solutions Associate Engineer role is ideal for early-career professionals looking to build a career in supporting the development and maintenance of AI/ML solutions using Generative AI, Retrieval-Augmented Generation (RAG), and Agentic AI frameworks, combined with Infrastructure as Code and automation practices. The engineer will contribute to building and supporting scalable, secure AI-powered systems for the Federal Reserve System under the guidance of senior team members. You will be joining The Infrastructure, Platforms & Operations portfolio. This business line supports the strategic direction and product delivery for System IT infrastructure and operations, as well as the alignment of technology to business strategies. The team serves as the business partner for secure and reliable IT products, services, and operations. This position does not sponsor employment visas. Candidates must be U.S. citizens or lawful permanent residents with at least three years of legal residency. There are three (3) vacancies for this job profile, candidates will be selected based on the needs of the position and the strength of the candidate pool.

Requirements

• 0 to 3 years of direct relevant work experience in AI/ML engineering, cloud infrastructure, DevOps, or software engineering OR a bachelor's degree in computer science, Information Technology, Engineering, or related field preferred.
• Foundational knowledge of Generative AI concepts, Large Language Models (LLMs), and prompt engineering
• Basic exposure to Retrieval-Augmented Generation (RAG) concepts and vector databases
• Basic understanding of Agentic AI concepts and orchestration patterns
• Working knowledge of Python for scripting and automation
• Basic proficiency with Terraform or similar Infrastructure as Code tools
• Familiarity with core AWS services (EC2, S3, Lambda, VPC, IAM)
• Basic understanding of CI/CD concepts and tools such as GitLab
• Basic knowledge of React for frontend development
• Understanding of version control systems (Git) and collaborative development workflows
• Basic knowledge of SQL queries and data analysis techniques
• General knowledge of cloud computing concepts and AI/ML system basics
• Basic understanding of networking fundamentals and security principles
• Willingness to learn and grow problem-solving skills to debug technical issues with guidance
• Ability to follow technical standards and engineering best practices
• Strong written and verbal communication skills with attention to detail
• Ability to document technical work clearly for technical and non-technical audiences
• Collaborator who is cooperative and open to feedback and mentorship
• Demonstrates enthusiasm for learning new AI technologies and staying current with industry trends
• Basic understanding of risk management principles in decision-making, particularly regarding responsible AI use

Nice To Haves

• Information technology Interns with a BA degree and a strong technical foundation, from their internship experience, and relevant coursework in AI/ML are encouraged to apply
• Certification related to Information Technology or AI/ML preferred (AWS Certified Cloud Practitioner, HashiCorp Certified: Terraform Associate, AWS AI Practitioner, or similar)
• Basic awareness of performance measures and metrics relevant to system health
• Coursework, projects, or internship exposure to AWS Bedrock or GenAI/RAG applications
• Exposure to AI agent frameworks (e.g., LangChain, LangGraph, or similar)
• Basic knowledge of vector databases and embedding models
• Familiarity with containerization technologies (Docker, ECS, EKS)
• Exposure to API development and RESTful services
• Familiarity with Agile methodologies
• General familiarity with monitoring and observability concepts (e.g., logging, metrics, alerting, dashboards) and related tools such as CloudWatch, Grafana, or similar platforms

Responsibilities

• Contribute to RAG pipelines, prompt engineering, and agentic workflows to support business use cases
• Write automation scripts using Python to help streamline AI model deployment, data pipelines, and operational processes
• Assist in building and deploying GenAI, RAG, and Agentic AI solutions leveraging AWS Bedrock and related AI/ML services, under guidance from senior engineers
• Support configuration of AWS infrastructure for AI workloads including compute, storage, networking, and security using Terraform and Infrastructure as Code (IaC) principles
• Support and maintain CI/CD pipelines for automated testing, deployment, and infrastructure provisioning using GitLab or similar tools
• Assist in developing user interfaces using React for AI front end, monitoring solutions, and administrative applications
• Help troubleshoot and resolve routine to moderately complex AI infrastructure and application issues
• Code, test, debug, and document AI/ML pipeline components and infrastructure enhancements
• Produce ad-hoc queries, reports, and simple automation tools as requested by technical teams and business management
• Support system health checks and basic troubleshooting to help ensure reliability of deployed solutions
• Work as part of an Agile team, contributing to AI capabilities that support business processes and decision-making
• Participate in design reviews and team discussions, raising questions and sharing observations
• Support change and problem management activities using standard tools, following FRIT change management policies and procedures
• Assist with analysis of business requirements as they relate to AI solutions
• Help document AI solution details, runbooks, and operational procedures following technical writing best practices

Benefits

• Comprehensive healthcare options (Medical, Dental, and Vision)
• 401(k) match, and a fully funded pension plan
• Paid time off and holidays
• Annual educational assistance
• Professional development programs, training and conferences

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level